Utilization of Soft Computing Techniques for Dealing Tokyo Stock Exchange Prices Indexes (TOPIX)

Abstract

In recent years, soft computing techniques such as neural networks, GAs, and etc. have been successfully applied for constructing various intelligent decision support systems. In this paper, we shall try to utilize neural networks to construct an intelligent decision support system for dealing TOPIX. Further, we shall suggest that the proposed decision support system can be improved by another soft computing techniques such as GAs, TD-Learning, and etc.